How To Build An AI Customer Service Voice Agent (Advanced VAPI Tutorial)
Key Takeaways
Builds an advanced customer service voice agent using VAPI
Original Description
In this video, I'll show you the best way to build an advanced Customer Service Voice Agent inside of VAPI!
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📖 Description -
Most companies pay thousands of dollars a month for a customer service associate who handles live calls from their customers and handles their inquiries accordingly. Now that we're in the AI Revolution, we are able to automate a lot of this manual work away by building AI Voice Agents. The problem is, though, building voice agents smart enough to handle an infinite number of potential inquiries is difficult, especially when we start needing the agent to automatically perform tasks based on the call route.
In this video, I'll solve this problem for you by showing you how to build an advanced inbound Customer Service Voice Agent in VAPI, complete with conditional paths, variable capture, live call transfers, and automated emails through our connection with Make.com. We’ll start from a blank VAPI Workflow canvas and build a real example for a movie theater that can detect what the caller wants, route them down the right path, collect their name and email, send that data to Make.com, and even transfer the call to a live sales rep.
By the end, you’ll know how to build a production-ready inbound agent that answers questions, gathers contact info, emails callers automatically, and routes high-intent conversations directly to your team. It’s fast to set up, easy to extend to your own company, and powerful enough to replace phone support for most businesses.
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⏰ Timestamps -
0:00 👋 INTRO
0:54 👷🏻 VAPI Workflow Basics
10:19 💣 Trigger Make.com Automation
18:41 ☎️ Transfer To Live Sales Reps
21:25 🧪TEST!!!
25:33 👋 CONCLUSION
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Chapters (6)
👋 INTRO
0:54
👷🏻 VAPI Workflow Basics
10:19
💣 Trigger Make.com Automation
18:41
☎️ Transfer To Live Sales Reps
21:25
🧪TEST!!!
25:33
👋 CONCLUSION
🎓
Tutor Explanation
DeepCamp AI